An accessible primer on how to create effective graphics from
data
This book provides students and researchers a hands-on
introduction to the principles and practice of data
visualization. It explains what makes some graphs succeed while
others fail, how to make high-quality figures from data using
powerful and reproducible methods, and how to think about data
visualization in an honest and effective way.
Data Visualization... more...

It's nearly impossible to build a competent Go-playing machine
using conventional programming techniques, let alone have it
win. By applying advanced AI techniques, in particular deep
learning and reinforcement learning, users can train their
Go-bot in the rules and tactics of the game.
Deep Learning and the Game of Go opens up the world of
deep learning and AI by teaching readers to build their own
Go-playing... more...

The C Puzzle Book is an excellent choice for all programmers who want to expand on their basic knowledge of the C programming language. Completely compliant with ANSI C, this book has been designed to help readers gain a more thorough understanding of the C syntax and semantics through interesting puzzles that challenge the readers' proficiency with the basics. C programming specialist Alan Feuer covers major topics of C from different angles so the... more...

Gilbert Strang's textbooks have changed the entire approach to
learning linear algebra -- away from abstract vector spaces to
specific examples of the four fundamental subspaces: the column
space and nullspace of A and A'.
This new fifth edition has become more than a textbook for the
basic linear algebra course. That is its first purpose and always
will be. The new chapters about applications of the SVD,
probability and statistics, and... more...

Requiring no more than a basic knowledge of abstract algebra,
this text presents the mathematics of number fields in a
straightforward, pedestrian manner. It therefore avoids local
methods and presents proofs in a way that highlights the
important parts of the arguments. Readers are assumed to be able
to fill in the details, which in many places are left as
exercises.

Explaining how to apply to mathematical programming to network
design and control, Linear Programming and Algorithms for
Communication Networks: A Practical Guide to Network Design,
Control, and Management fills the gap between
mathematical programming theory and its implementation in
communication networks. From the basics all the way through to
more advanced concepts, its comprehensive coverage provides
readers with a solid... more...

More than 1 million books sold in the Practice Makes Perfect
series!
Based on the successful approach of the Practice Makes Perfect
series, a basic math workbook that allows students to reinforce
their skills through key concepts and 500 exercises
About the Book
A no-nonsense practical guide to this subject, Practice Makes
Perfect: Basic Math offers practice in very basic mathematics
skills in an area also sometimes called remedial... more...

Generalized linear models (GLMs) extend linear regression to
models with a non-Gaussian, or even discrete, response. GLM
theory is predicated on the exponential family of
distributions--a class so rich that it includes the commonly used
logit, probit, and Poisson models. Although one can fit these
models in Stata by using specialized commands (for example, logit
for logit models), fitting them as GLMs with Stata's glm command
offers... more...

An insightful, hands-on focus on the statistical methods used by
compensation and human resources professionals in their everyday
work
Across various industries, compensation professionals work to
organize and analyze aspects of employment that deal with
elements of pay, such as deciding base salary, bonus, and
commission provided by an employer to its employees for work
performed. Acknowledging the numerous quantitative analyses of
data... more...